| 2020 | CogSci | Computational approaches to analyzing and generating comics. | Aditya Upadhyayula, Chris Martens, Rogelio Cardona-Rivera, Andrew Hendrickson, Neil Cohn |
| 2019 | CogSci | Modeling individual performance in cross-situational word learning. | Yung Han Khoe, Amy Perfors, Andrew Hendrickson |
| 2018 | CogSci | Representational and sampling assumptions drive individual differences in single category generalisation. | Keith Ransom, Andrew Hendrickson, Amy Perfors, Danielle J. Navarro |
| 2017 | CogSci | When do learned transformations influence similarity and categorization? | Steven Langsford, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2016 | CogSci | Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. | Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2015 | CogSci | Quantifying the time course of similarity. | Andrew Hendrickson, Daniel J. Navarro, Christopher Donkin |
| 2014 | CogSci | Adaptive information source selection during hypothesis testing. | Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2014 | CogSci | People are sensitive to hypothesis sparsity during category discrimination. | Steven Langsford, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2013 | CogSci | The role of sampling assumptions in generalization with multiple categories. | Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2012 | CogSci | Going to Extremes: The influence of unsupervised categories on the mental caricaturization of faces and asymmetries in perceptual discrimination. | Andrew Hendrickson, Paulo F. Carvalho, Robert L. Goldstone |
| 2012 | CogSci | Re-learning labeled categories reveals structured representations. | Andrew Hendrickson, George Kachergis, Caitlin M. Fausey, Robert L. Goldstone |